Triple

T19914428
Position Surface form Disambiguated ID Type / Status
Subject Hung E478626 entity
Predicate portrayedBy P1507 FINISHED
Object Rebecca Creskoff
Rebecca Creskoff is an American actress best known for her role as Lenore Bernard on the HBO comedy-drama series "Hung."
E1441209 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rebecca Creskoff | Statement: [Hung, portrayedBy, Rebecca Creskoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca Creskoff
Context triple: [Hung, portrayedBy, Rebecca Creskoff]
  • A. Rebecca Heineman
    Rebecca Heineman is an American video game programmer and designer recognized as one of the industry’s earliest champions and a co-founder of several influential game companies.
  • B. Rebecca Kleefisch
    Rebecca Kleefisch is an American Republican politician who served as Wisconsin’s lieutenant governor from 2011 to 2019.
  • C. Rebecca Bau
    Rebecca Bau was the wife of Polish-Israeli artist and Holocaust survivor Joseph Bau, known for sharing in his life story and legacy.
  • D. Rebecca Dayan
    Rebecca Dayan is a French actress and model known for her roles in film and television, including portraying Elsa Peretti in the Netflix miniseries "Halston."
  • E. Rebecca Wisocky
    Rebecca Wisocky is an American actress best known for her television work, including her prominent role on the series "Devious Maids."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rebecca Creskoff
Triple: [Hung, portrayedBy, Rebecca Creskoff]
Generated description
Rebecca Creskoff is an American actress best known for her role as Lenore Bernard on the HBO comedy-drama series "Hung."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rebecca Creskoff
Target entity description: Rebecca Creskoff is an American actress best known for her role as Lenore Bernard on the HBO comedy-drama series "Hung."
  • A. Rebecca Heineman
    Rebecca Heineman is an American video game programmer and designer recognized as one of the industry’s earliest champions and a co-founder of several influential game companies.
  • B. Rebecca Kleefisch
    Rebecca Kleefisch is an American Republican politician who served as Wisconsin’s lieutenant governor from 2011 to 2019.
  • C. Rebecca Bau
    Rebecca Bau was the wife of Polish-Israeli artist and Holocaust survivor Joseph Bau, known for sharing in his life story and legacy.
  • D. Rebecca Dayan
    Rebecca Dayan is a French actress and model known for her roles in film and television, including portraying Elsa Peretti in the Netflix miniseries "Halston."
  • E. Rebecca Wisocky
    Rebecca Wisocky is an American actress best known for her television work, including her prominent role on the series "Devious Maids."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659928030819085a4aafc6a0ef5c8 completed April 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bafc4c088190ae448e2cfca1de82 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bbddde1c81908733796442e6a562 completed May 16, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08bca1021c8190a0e89bad15e87bc1 completed May 16, 2026, 6:51 p.m.
Created at: April 10, 2026, 1:53 p.m.